The retention effect of staff education programme: Sustaining a decrease in hospital-acquired pressure ulcers via culture of care integration

Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods

BACKGROUND

Machine learning (ML), a subset of artificial intelligence (AI), uses algorithms to analyze data and predict outcomes without extensive human intervention. In healthcare, ML is gaining attention for enhancing patient outcomes. This study focuses on predicting additional hospital days (AHD) for patients with cervical spondylosis (CS), a condition affecting the cervical spine. The research aims to develop an ML-based nomogram model analyzing clinical and demographic factors to estimate hospital length of stay (LOS). Accurate AHD predictions enable efficient resource allocation, improved patient care, and potential cost reduction in healthcare.

METHODS

The study selected CS patients undergoing cervical spine surgery and investigated their medical data. A total of 945 patients were recruited, with 570 males and 375 females. The mean number of LOS calculated for the total sample was 8.64 ± 3.7 days. A LOS equal to or <8.64 days was categorized as the AHD-negative group (n = 539), and a LOS > 8.64 days comprised the AHD-positive group (n = 406). The collected data was randomly divided into training and validation cohorts using a 7:3 ratio. The parameters included their general conditions, chronic diseases, preoperative clinical scores, and preoperative radiographic data including ossification of the anterior longitudinal ligament (OALL), ossification of the posterior longitudinal ligament (OPLL), cervical instability and magnetic resonance imaging T2-weighted imaging high signal (MRI T2WIHS), operative indicators and complications. ML-based models like Lasso regression, random forest (RF), and support vector machine (SVM) recursive feature elimination (SVM-RFE) were developed for predicting AHD-related risk factors. The intersections of the variables screened by the aforementioned algorithms were utilized to construct a nomogram model for predicting AHD in patients. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve and C-index were used to evaluate the performance of the nomogram. Calibration curve and decision curve analysis (DCA) were performed to test the calibration performance and clinical utility.

RESULTS

For these participants, 25 statistically significant parameters were identified as risk factors for AHD. Among these, nine factors were obtained as the intersection factors of these three ML algorithms and were used to develop a nomogram model. These factors were gender, age, body mass index (BMI), American Spinal Injury Association (ASIA) scores, magnetic resonance imaging T2-weighted imaging high signal (MRI T2WIHS), operated segment, intraoperative bleeding volume, the volume of drainage, and diabetes. After model validation, the AUC was 0.753 in the training cohort and 0.777 in the validation cohort. The calibration curve exhibited a satisfactory agreement between the nomogram predictions and actual probabilities. The C-index was 0.788 (95% confidence interval: 0.73214-0.84386). On the decision curve analysis (DCA), the threshold probability of the nomogram ranged from 1 to 99% (training cohort) and 1 to 75% (validation cohort).

CONCLUSION

We successfully developed an ML model for predicting AHD in patients undergoing cervical spine surgery, showcasing its potential to support clinicians in AHD identification and enhance perioperative treatment strategies.

The Relationship between Nursing Practice Environment and Pressure Ulcer Care Quality in Portugal's Long-Term Care Units

BACKGROUND

The morbidity associated with ageing has contributed to an increase in the prevalence of Pressure Ulcers (PUs) in all care settings. The impact of these on people's quality of life and the extent of the associated economic and social burden constitutes today, by their importance, a serious public health problem. This study aims to describe the nursing work environment in Portuguese long-term care (LTC) units and to assess how this environment relates to the quality of PU care.

METHODS

A longitudinal study among inpatients with PUs was conducted in LTC units. The Nursing Work Index-Revised Scale (NWI-R) was sent to all nurses in these units. Cox proportional hazard models were used to relate the satisfaction degree with the service (measured by the NWI-R-PT items) to the healing time of the PUs, adjusting for confounders.

RESULTS

A total of 165 of 451 invited nurses completed the NWI-R-PT. Most were women (74.6%) and had 1 to 5 years of professional experience. Less than half (38.4%) had education in wound care. Of the 88 patients identified with PUs, only 63 had their PU documented, highlighting the difficulties in updating electronic records. The results showed that the level of concordance with Q28 "Floating so that staffing is equalised among units" is strongly associated with a shorter PU healing time.

CONCLUSION

A good distribution of nursing staff over the units will likely improve the quality of wound care. We found no evidence for possible associations with the questions on participation in policy decisions, salary level, or staffing educational development and their relationship with PUs healing times.

Documentation of pressure ulcers in medical records at an internal medicine ward in university hospital in western Sweden

OBJECTIVES

Pressure ulcers cause suffering, prolong care periods, and increase mortality. The aim was to describe and analyze the documentation of pressure ulcers and focused on the medical records from an internal medicine ward in a university hospital in western Sweden.

METHODS

A quantitative, retrospective review of medical records was conducted for all care events (n = 1,458) with descriptive statistics.

RESULTS

Documentation of the pressure ulcers in care plans was 2.1% (n = 31) compared to 6.7 % (n = 46) within final notes written by registered nurses (RN), a lower result compared to PPM (n = 3/14, 21.4%). Risk assessments were carried out in 68 (4.7%) care events, and 31 care plans included pressure ulcers. Moreover, 198 cases of tissue damage were documented, 43 (21.7%) defined as pressure ulcers, the other 147 (74.2%) lacked definition.

CONCLUSIONS

Differences (2.1%-21.4%) highlight improvements; knowledge and communication of pressure ulcers ensure reliable documentation in medical records.

Perceptions of Patient Safety Culture Dimensions among Hospital Nurses: A Systematic Review

Background

Patient safety culture, an important aspect in the field of patient safety, plays an important role in the promotion of healthcare quality. Improved patient safety culture decreases patient readmission rates, lengths of hospital stay, and patient safety issues. Patient safety culture includes a set of dimensions. This review focuses on the differing perceptions of these dimensions among healthcare providers in hospitals.

Aims

This study aimed to identify studies examining healthcare providers’ perceptions of patient safety culture in hospitals and to summarize the data from these studies.

Method

Electronic database searching was based on the research question. Two electronic databases were used: CINHAL and Scopus. The search was limited to the period 2005–2012, and studies examining healthcare providers’ perceptions of patient safety culture were identified. Key terms were used to search the articles that were selected on the basis of inclusion and exclusion criteria. Articles examining healthcare providers’ perceptions of patient safety culture in hospitals without comparison between nurses and other healthcare professionals were selected.

Results

Eight articles were reviewed. Several questionnaires were used to assess healthcare providers’ perceptions of patient safety culture in these articles. Our review indicated differences in healthcare providers’ perceptions. In two articles, participants reported a high positive response to teamwork. In addition, participants in the other two articles reported a high positive response to job satisfaction.

Conclusion

The results of the current review reveal healthcare providers’ perceptions of patient safety culture. The results highlight that careful recognition and committed work on various scales/dimensions of patient safety culture can improve healthcare quality and consequently decrease patient safety issues associated with nursing care. Our findings also encourage hospital management and decision-makers to focus on and establish improvements in areas that will positively affect the quality of healthcare.

Content Validity and Reliability of the Pressure Ulcer Knowledge Test and the Knowledge Level of Portuguese Nurses at Long-Term Care Units: A Cross-Sectional Survey

(1) Background: Improvement in pressure ulcer care depends both on the dissemination of knowledge and its implementation. This study aims to translate the Pressure Ulcer Knowledge Test into Portuguese from Portugal and evaluate the internal consistency of the questionnaire. The second aim is to assess nurses’ pressure ulcer knowledge level. (2) Methods: The Pressure Ulcer Knowledge Test was translated into Portuguese, and the translated test’s internal consistency and content validity were assessed. Further, the authors conducted a cross-sectional survey using the test among 221 nurses working in long-term care units. (3) Results: The Cronbach’s alpha internal coefficient of reliability recorded for the 47 items was 0.738, which is higher than the minimum acceptable level of 0.7. The Cronbach’s alpha for the subscales was 0.709 for prevention/risk and less than 0.5 for staging and wound description. Only two of the 221 nurses achieved a score of 90% correct answers or more. The nurses scored lower in questions related to prevention/risk (Me = 67.4%, IQR = 60.6–75.8% vs. staging: ME = 85.7%, IQR = 71.4–85.7%, description: ME = 85.7%, IQR = 71.4–85.7%, p < 0.001). (4) Conclusion: The internal consistency of the instrument was acceptable. The instrument can accurately measure Portuguese nurses’ knowledge of pressure ulcers, and its information can help improve education and implementation of best practices.